应用 · computer vision论文趋势 2023–2026

主要结论

• 应用 · computer vision论文从 2023 年的 106 篇增长到 2026 年的 1,326 篇，三年间扩大到约 13 倍。
• ICLR 是发应用 · computer vision论文最多的会议，2023–2026 年共 1,048 篇，占四个会议总量的 41%。
• 交叉方向里涨得最快的是应用 · speech and audio：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 292 篇。
• 在「应用领域」的 10 个主题里，它的 2026 年论文数排第 1；同组增长最快的应用 · health medicine是 61 倍，应用 · computer vision是 13 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026Adapting Vision Transformers to Organoid Imaging
• ICML 2026$\sigma$: Sigmoid Modulation for Ultra High Resolution Diffusion
• ICLR 2026A Scene is Worth a Thousand Features: Feed-Forward Camera Localization from a Collection of Image Features
• CVPR 2026Benchmarking PhD-Level Coding in 3D Geometric Computer Vision
• NeurIPS 2025BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models
• ICML 2025Action Dubber: Timing Audible Actions via Inflectional Flow
• ICLR 2025A Multiscale Frequency Domain Causal Framework for Enhanced Pathological Analysis
• CVPR 2025BHViT: Binarized Hybrid Vision Transformer
• NeurIPS 2024A Taxonomy of Challenges to Curating Fair Datasets
• ICML 2024Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module
• ICLR 2024Boosting Vanilla Lightweight Vision Transformers via Re-parameterization
• CVPR 2024Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories
• NeurIPS 2023[Re] Masked Autoencoders Are Small Scale Vision Learners: A Reproduction Under Resource Constraints
• ICML 2023Can Forward Gradient Match Backpropagation?
• ICLR 2023Fundamental limits on the robustness of image classifiers
• CVPR 2023BiFormer: Vision Transformer With Bi-Level Routing Attention
• NeurIPS 2026Computer Use at the Edge of the Statistical Precipice
• ICML 20263D Scene Assertion Verification
• ICLR 2026A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models
• CVPR 2026Describe Anything Anywhere At Any Moment

全部应用 · computer vision论文

共 152 篇，第 3 / 4 页

101. ICLR 2024PORF: POSE RESIDUAL FIELD FOR ACCURATE NEURAL SURFACE RECONSTRUCTION
102. ICLR 2024Pose Modulated Avatars from Video
103. ICLR 2024Prompt Learning with Quaternion Networks
104. ICLR 2024Recursive Generalization Transformer for Image Super-Resolution
105. ICLR 2024Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment
106. ICLR 2024ResFields: Residual Neural Fields for Spatiotemporal Signals
107. ICLR 2024Retrieval-Enhanced Contrastive Vision-Text Models
108. ICLR 2024Revisiting Data Augmentation in Deep Reinforcement Learning
109. ICLR 2024Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing
110. ICLR 2024SEA: Sparse Linear Attention with Estimated Attention Mask
111. ICLR 2024Semantic Flow: Learning Semantic Fields of Dynamic Scenes from Monocular Videos
112. ICLR 2024Sentence-level Prompts Benefit Composed Image Retrieval
113. ICLR 2024Shadow Cones: A Generalized Framework for Partial Order Embeddings
114. ICLR 2024Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
115. ICLR 2024Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation
116. ICLR 2024SparseFormer: Sparse Visual Recognition via Limited Latent Tokens
117. ICLR 2024SPDER: Semiperiodic Damping-Enabled Object Representation
118. ICLR 2024SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition
119. ICLR 2024sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows
120. ICLR 2024Stable Anisotropic Regularization
121. ICLR 2024SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS
122. ICLR 2024Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control
123. ICLR 2024Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance
124. ICLR 2024Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
125. ICLR 2024TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
126. ICLR 2024The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry
127. ICLR 2024The Need for Speed: Pruning Transformers with One Recipe
128. ICLR 2024The Reasonableness Behind Unreasonable Translation Capability of Large Language Model
129. ICLR 2024The Trickle-down Impact of Reward Inconsistency on RLHF
130. ICLR 2024Think before you speak: Training Language Models With Pause Tokens
131. ICLR 2024Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
132. ICLR 2024TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
133. ICLR 2024TokenFlow: Consistent Diffusion Features for Consistent Video Editing
134. ICLR 2024Towards 3D Molecule-Text Interpretation in Language Models
135. ICLR 2024Towards Category Unification of 3D Single Object Tracking on Point Clouds
136. ICLR 2024Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators
137. ICLR 2024Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
138. ICLR 2024Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
139. ICLR 2024Uni3D: Exploring Unified 3D Representation at Scale
140. ICLR 2024Universal Guidance for Diffusion Models
141. ICLR 2024UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
142. ICLR 2024Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels
143. ICLR 2024USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields
144. ICLR 2024Vision-by-Language for Training-Free Compositional Image Retrieval
145. ICLR 2024Vision-Language Foundation Models as Effective Robot Imitators
146. ICLR 2024Visual Data-Type Understanding does not emerge from scaling Vision-Language Models
147. ICLR 2024VQ-TR: Vector Quantized Attention for Time Series Forecasting
148. ICLR 2024When Semantic Segmentation Meets Frequency Aliasing
149. ICLR 2024Win-Win: Training High-Resolution Vision Transformers from Two Windows
150. ICLR 2024You Only Query Once: An Efficient Label-Only Membership Inference Attack

常见问题

2023–2026 年四大会议一共有多少篇应用 · computer vision论文？

共 2,538 篇，按年份分别是 2023 年 106 篇、2024 年 334 篇、2025 年 772 篇、2026 年 1,326 篇。

NeurIPS 2026 有多少篇应用 · computer vision论文？

NeurIPS 2026 有 168 篇应用 · computer vision论文，上一届是 165 篇。

ICLR 2026 有多少篇应用 · computer vision论文？

ICLR 2026 有 538 篇应用 · computer vision论文，上一届是 338 篇。

ICML 2026 有多少篇应用 · computer vision论文？

ICML 2026 有 554 篇应用 · computer vision论文，上一届是 201 篇。

CVPR 2026 有多少篇应用 · computer vision论文？

CVPR 2026 有 66 篇应用 · computer vision论文，上一届是 68 篇。

哪个会议的应用 · computer vision论文最多？

ICLR，2023–2026 年共 1,048 篇。